Category: Machine Learning

Scientists at the University of Vienna, in collaboration with the Norwegian University of Science and Technology led by Kristina Kirová, have developed a new quantum machine learning technique that goes beyond the limits of traditional variational methods, which often require complex and computationally expensive parameter optimization. Their work introduces Harmoniq, a novel data augmentation approach […]

The U.S. Navy has awarded Infleqtion a $1 million contract to further develop its Quantum-Inspired Rapid Context (QuIRC) platform, building on the success of an initial demonstration of the technology. QuIRC leverages Infleqtion’s patent-pending Contextual Machine Learning (CML) technology to reduce the amount of computation and storage needed to process radio frequency (RF) data, a […]

Yuya Kawamata of Osaka University and Kyoto University and colleagues have presented a new approach to efficiently sampling complex optimization problems using quantum-inspired machine learning. Their work introduces a divide-and-conquer neural network surrogate framework designed to speed up the Markov Chain Monte Carlo (MCMC) method under fixed Hamming weight constraints. Combining the quantum approximation optimization […]

Upcoming SAS products will equip your organization with quantum AI for real ROI dallas, April 28, 2026 /PRNewswire/ — SAS INNOVATE — As the supply chain supporting quantum hardware stabilizes, many experts expect this emerging technology to be widespread and ready for mass production by the early 2030s. Some think this means that reaping quantum […]

Tufts University researchers are using AI and machine learning to more quickly identify narrow-spectrum antibiotics that may be used to prevent and treat Lyme disease. This was thanks to generous gifts from alumni, which accelerated the research schedule by two to three years. This research has already identified hundreds of unique compounds that can kill […]

In a breakthrough that heralds a new era in infrastructure safety, researchers at Shanghai University of Science and Technology have developed an innovative machine learning framework that dramatically enhances real-time prediction of compressive stresses in ultra-high performance concrete (UHPC). This innovative approach leverages the integration of electrical resistivity and traditional displacement parameters to unlock unprecedented […]

Cryptocurrency markets generate more data per second than most human analysts can meaningfully track. icryptox.com addresses this problem using a machine learning system that reads market signals, performs pattern detection, and executes trades without manual input. Here’s how the system actually works: icryptox.com How Machine Learning Reads the Cryptocurrency Market The platform runs […]

A new framework, parameter-efficient quantum multitask learning, addresses the challenge of efficiently learning multiple complex tasks simultaneously. Hevish Cowlessur and colleagues at the University of Melbourne used variational quantum circuits to significantly reduce the number of parameters needed for task-specific predictions. This approach replaces the traditional classical prediction head with a fully quantum replacement model […]

Learn about Microsoft Fabric and its ML applications through a project that analyzes Titanic passenger data. This tutorial is an end-to-end demonstration of Microsoft Fabric that takes learners from descriptive and diagnostic analysis to predictive analysis using the popular Kaggle Titanic dataset. The goal of this tutorial is to train a binary classification […]

image: Version 2 Architecture of Attending U-Net with Skip Connections for Super-Resolution (ASSR) Model for Night Lighting (NTL) Data Reconstruction. Contains (A) main skeleton, (B) downsampling block, (C) upsampling block, and (D) attention gate. view more Credit: Journal of Remote Sensing Nighttime light data is widely used to track urbanization, economic activity, and human development, […]